Andorra vs Yemen: Statistical performance indicators (SPI): Pillar 5 data infrastructure
Statistical performance indicators (SPI): Pillar 5 data infrastructure over time
- Andorra
- Yemen
How they compare
Andorra currently reports 25 scale 0-100 against 25 scale 0-100 in Yemen, a difference of 0 scale 0-100.
Across all 5 years both countries report, Yemen has been ahead every year.
Andorra ranks 183rd and Yemen ranks 183rd of 190 countries.
Yemen has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data infrastructure, Andorra or Yemen?
- Andorra, at 25 scale 0-100 against 25 scale 0-100 in Yemen as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data infrastructure between Andorra and Yemen?
- 0 scale 0-100, with Andorra ahead.
- How many years of comparable data are there for Andorra and Yemen?
- 5 years are reported by both, from 2020 to 2024.
- How do Andorra and Yemen rank globally for statistical performance indicators (spi): pillar 5 data infrastructure?
- Andorra ranks 183rd and Yemen ranks 183rd of 190 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.